Bibliography

Acid de CamposAcid de Campos2003

Acid, S. de Campos, L. M. 2003.
Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs
Journal of Artificial Intelligence Research, 18, 445-490.

Angelopoulos CussensAngelopoulos Cussens2001

Angelopoulos, N. Cussens, J. 2001.
Markov chain Monte Carlo using tree-based priors on model structure
In Breese, J. Koller, D., Uncertainty in Artificial Intelligence: Proceedings of the Seventeenth Conference (UAI-2001), 16-23 Seattle, USA. Morgan Kaufmann.

Angelopoulos CussensAngelopoulos Cussens2004

Angelopoulos, N. Cussens, J. 2004.
On the implementation of MCMC proposals over stochastic logic programs
In Colloquium on Implementation of Constraint and LOgic Programming Systems. Satellite workshop to ICLP'04 Saint-Malo, France.

Angelopoulos CussensAngelopoulos Cussens2005

Angelopoulos, N. Cussens, J. 2005.
Exploiting informative priors for bayesian classification and regression trees
In Nineteenth International Joint Conference on Artificial Intelligence Edinburgh, UK.
To appear.

Chipman HChipman H1998

Chipman H, George E, M. R. 1998.
Bayesian CART model search (with discussion)
Journal of the American Statistical Association, 93, 935-960.

CussensCussens2000

Cussens, J. 2000.
Stochastic logic programs: Sampling, inference and applications
In Sixteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-2000), 115-122 San Francisco, CA. Morgan Kaufmann.

CussensCussens2001

Cussens, J. 2001.
Parameter estimation in stochastic logic programs
Machine Learning, 44(3), 245-271.

Denison, Holmes, Mallick, SmithDenison et al.2002

Denison, D. G. T., Holmes, C. C., Mallick, B. K., Smith, A. F. M. 2002.
Bayesian Methods for Nonlinear Classification and Regression.
Wiley.

Denison H. A.Denison H. A.1998

Denison H. A., Mallick B. K., S. A. F. M. 1998.
A Bayesian CART algorithm
Biometrika, 85, 363-377.

Egeland, Pettera, Mevåg, StenersenEgeland et al.2000

Egeland, T., Pettera, M., Mevåg, B., Stenersen, M. 2000.
Beyond traditional paternity and identification cases. selecting the most probable pedigree
Forensic Science International, 110(1).

Friedman KollerFriedman Koller2000

Friedman, N. Koller, D. 2000.
Being Bayesian about network structure
In Uncertainty in Artificial Intelligence: Proceedings of the Sixteenth Conference (UAI-2000), 201-210 San Francisco, CA. Morgan Kaufmann Publishers.

Gillispie PerlmanGillispie Perlman2001

Gillispie, S. B. Perlman, M. D. 2001.
Enumerating markov equivalence classes of acyclic digraph models
In UAI 2001.